Our publications

Heggli, O. A., Cabral, J., Konvalinka, I., Vuust, P. & Kringelbach, M. L. (2019). A Kuramoto model of self-other integration across interpersonal synchronization strategies. PLOS Computational Biology, 15(10), [e1007422]. https://doi.org/10.1371/journal.pcbi.1007422

Jespersen, K. V., Otto, M., Kringelbach, M. L., Van Someren, E. & Vuust, P. (2019). A randomized controlled trial of bedtime music for insomnia disorder. Journal of Sleep Research, 28(4), [e12817]. https://doi.org/10.1111/jsr.12817

Brattico, E. & Varankaitė, U. (2019). Aesthetic empowerment through music. Musicae Scientiae, 23(3), 285-303. https://doi.org/10.1177/1029864919850606

Figueroa, C. A., Cabral, J., Mocking, R. J. T., Rapuano, K. M., van Hartevelt, T. J., Deco, G. ... Ruhé, H. G. (2019). Altered ability to access a clinically relevant control network in patients remitted from major depressive disorder. Human Brain Mapping, 40(9), 2771-2786. https://doi.org/10.1002/hbm.24559

Haumann, N. T., Huotilainen, M., Vuust, P. & Brattico, E. (2019). Applying stochastic spike train theory for high-accuracy MEG/EEG.

Mencke, I., Omigie, D., Wald-Fuhrmann, M. & Brattico, E. (2019). Atonal Music: Can Uncertainty Lead to Pleasure? Frontiers in Neuroscience, 12(979), [979]. https://doi.org/10.3389/fnins.2018.00979

Robson, H., Griffiths, T. D., Grube, M. & Woollams, A. M. (2019). Auditory, Phonological, and Semantic Factors in the Recovery From Wernicke’s Aphasia Poststroke: Predictive Value and Implications for Rehabilitation. Neurorehabilitation and Neural Repair, 33(10), 800-812. https://doi.org/10.1177/1545968319868709

Deco, G., Cruzat, J., Cabral, J., Tagliazucchi, E., Laufs, H., Logothetis, N. K. & Kringelbach, M. L. (2019). Awakening: Predicting external stimulation to force transitions between different brain states. Proceedings of the National Academy of Sciences of the United States of America, 116(36), 18088-18097. https://doi.org/10.1073/pnas.1905534116

Deco, G., Cruzat, J. & Kringelbach, M. L. (2019). Brain songs framework used for discovering the relevant timescale of the human brain. Nature Communications, 10, [583]. https://doi.org/10.1038/s41467-018-08186-7

Stevner, A. B. A., Vidaurre, D., Cabral, J., Rapuano, K., Nielsen, S. F. V., Tagliazucchi, E. ... Kringelbach, M. L. (2019). Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep. Nature Communications, 10(1), [1035]. https://doi.org/10.1038/s41467-019-08934-3

Fernandes, H. M., Cabral, J., van Hartevelt, T. J., Lord, L. D., Gleesborg, C., Møller, A. ... Kringelbach, M. L. (2019). Disrupted brain structural connectivity in Pediatric Bipolar Disorder with psychosis. Scientific Reports, 9(1), [13638]. https://doi.org/10.1038/s41598-019-50093-4

Starcke, K., von Georgi, R., Tiihonen, T. M., Laczika, K. F. & Reuter, C. (2019). Don't drink and chill: Effects of alcohol on subjective and physiological reactions during music listening and their relationships with personality and listening habits. International Journal of Psychophysiology, 142, 25-32. https://doi.org/10.1016/j.ijpsycho.2019.06.001

Costa, M., Bonetti, L., VIgnali, V., Bichicchi, A., Lantieri, C. & Simone, A. (2019). Driver's visual attention to different categories of roadside advertising signs. Applied Ergonomics, 78, 127-136. https://doi.org/10.1016/j.apergo.2019.03.001

Lord, L. D., Expert, P., Atasoy, S., Roseman, L., Rapuano, K., Lambiotte, R. ... Cabral, J. (2019). Dynamical exploration of the repertoire of brain networks at rest is modulated by psilocybin. NeuroImage, 199, 127-142. https://doi.org/10.1016/j.neuroimage.2019.05.060

Karageorghis, C. I., Lyne, L. P., Bigliassi, M. & Vuust, P. (2019). Effects of auditory rhythm on movement accuracy in dance performance. Human Movement Science, 67, [102511]. https://doi.org/10.1016/j.humov.2019.102511

Bro, M. L., Johansen, C., Vuust, P., Enggaard, L., Himmelstrup, B., Mourits-Andersen, T. ... Gram, J. (2019). Effects of live music during chemotherapy in lymphoma patients: a randomized, controlled, multi-center trial. Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 27(10), 3887-3896. https://doi.org/10.1007/s00520-019-04666-8

Itzhacki, J., Te Lindert, B. H. W., van der Meijden, W. P., Kringelbach, M. L., Mendoza, J. & Van Someren, E. J. W. (2019). Environmental light and time of day modulate subjective liking and wanting. Emotion (Washington, D.C.), 19(1), 10-20. https://doi.org/10.1037/emo0000402

Zamorano, A. M., Montoya, P., Cifre, I., Vuust, P., Riquelme, I. & Kleber, B. (2019). Experience-dependent neuroplasticity in trained musicians modulates the effects of chronic pain on insula-based networks – A resting-state fMRI study. NeuroImage, 202, [116103]. https://doi.org/10.1016/j.neuroimage.2019.116103

Kliuchko, M., Brattico, E., Gold, B. P., Tervaniemi, M., Bogert, B., Toiviainen, P. & Vuust, P. (2019). Fractionating auditory priors: A neural dissociation between active and passive experience of musical sounds. PLOS ONE, 14(5), [0216499]. https://doi.org/10.1371/journal.pone.0216499

Lumaca, M., Kleber, B., Brattico, E., Vuust, P. & Baggio, G. (2019). Functional connectivity in human auditory networks and the origins of variation in the transmission of musical systems. eLife, 8, [e48710]. https://doi.org/10.7554/eLife.48710

Pando-Naude, V., Barrios, F. A., Alcauter, S., Pasaye, E. H., Vase, L., Brattico, E. ... Garza-Villarreal, E. A. (2019). Functional connectivity of music-induced analgesia in fibromyalgia. Scientific Reports, 9, [15486]. https://doi.org/10.1038/s41598-019-51990-4

Hove, M. J., Vuust, P. & Stupacher, J. (2019). Increased levels of bass in popular music recordings 1955-2016 and their relation to loudness. The Journal of the Acoustical Society of America, 145(4), 2247-2253. https://doi.org/10.1121/1.5097587

Finkel, S., Veit, R., Lotze, M., Friberg, A., Vuust, P., Soekadar, S. ... Kleber, B. (2019). Intermittent theta burst stimulation over right somatosensory larynx cortex enhances vocal pitch-regulation in nonsingers. Human Brain Mapping, 40(7), 2174-2187. https://doi.org/10.1002/hbm.24515

Kliuchko, M. & Brattico, E. (2019). Interoception in the sensory sensitivities: Evidence from the auditory domain. Cognitive Neuroscience, 10(3), 166-168. https://doi.org/10.1080/17588928.2019.1592142

Knarborg Larsen, H., Heggli, O. A. & Petersen, B. (2019). Marimba, mallet and mind – enhancing the marimba sound by Ki-aikido approach. Journal of New Music Research, 48(5), 469-478. https://doi.org/10.1080/09298215.2019.1657465

Lunde, S. J., Vuust, P., Garza-Villarreal, E. A. & Vase, L. (2019). Music-induced analgesia: How does music relieve pain? Pain, 160(5), 989-993. https://doi.org/10.1097/j.pain.0000000000001452

Heggli, O. A., Konvalinka, I., Kringelbach, M. L. & Vuust, P. (2019). Musical interaction is influenced by underlying predictive models and musical expertise. Scientific Reports, 9(1), [11048]. https://doi.org/10.1038/s41598-019-47471-3

Sedghi, N. A. & Brattico, E. (2019). Musik og evolution. In T. K. Nielsen, C. Andersen, A. R. Kratschmer & M. Clasen (Eds.), Mennesket, kultur, evolution: et biokulturelt perspektiv (pp. 201-214). Aarhus: Aarhus Universitetsforlag.

Cameron, D. J., Zioga, I., Lindsen, J. P., Pearce, M. T., Wiggins, G. A., Potter, K. & Bhattacharya, J. (2019). Neural entrainment is associated with subjective groove and complexity for performed but not mechanical musical rhythms. Experimental Brain Research, 237(8), 1981-1991. https://doi.org/10.1007/s00221-019-05557-4

Criscuolo, A., Bonetti, L., Sarkamo, T., Kliuchko, M. & Brattico, E. (2019). On the Association Between Musical Training, Intelligence and Executive Functions in Adulthood. Frontiers in Psychology, 10, [1704]. https://doi.org/10.3389/fpsyg.2019.01704

Ahrends, C., Bravo, F., Kringelbach, M. L., Vuust, P. & Rohrmeier, M. A. (2019). Pessimistic outcome expectancy does not explain ambiguity aversion in decision-making under uncertainty. Scientific Reports, 9, [12177]. https://doi.org/10.1038/s41598-019-48707-y

Heggli, O. A., Vuust, P. & Kringelbach, M. L. (2019). Please Please Me! The Pleasure of Music in the Brain. In The Routledge Companion to Music, Mind and Well-being (pp. 205-218). Abingdon, Oxon, UK: Routledge.

Gold, B. P., Pearce, M. T., Mas-Herrero, E., Dagher, A. & Zatorre, R. J. (2019). Predictability and Uncertainty in the Pleasure of Music: A Reward for Learning? The Journal of neuroscience : the official journal of the Society for Neuroscience, 39(47), 9397-9409. https://doi.org/10.1523/JNEUROSCI.0428-19.2019

Koelsch, S., Vuust, P. & Friston, K. (2019). Predictive Processes and the Peculiar Case of Music. Trends in Cognitive Sciences, 23(1), 63-77. https://doi.org/10.1016/j.tics.2018.10.006

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2019). Reduced prediction error responses in high-as compared to low-uncertainty musical contexts. Cortex, 120, 181-200. https://doi.org/10.1101/422949, https://doi.org/10.1016/j.cortex.2019.06.010

Donnelly-Kehoe, P., Saenger, V. M., Lisofsky, N., Kühn, S., Kringelbach, M. L., Schwarzbach, J. ... Deco, G. (2019). Reliable local dynamics in the brain across sessions are revealed by whole-brain modeling of resting state activity. Human Brain Mapping, 40(10), 2967-2980. https://doi.org/10.1002/hbm.24572

Lunde, S. J., Vuust, P., Garza-Villarreal, E. A. & Vase, L. (2019). Reply to Martin-Saavedra and Saade-Lemus. Pain, 160(6), 1483-1484. https://doi.org/10.1097/j.pain.0000000000001534

de Fleurian, R., Harrison, P. M. C., Pearce, M. T. & Quiroga-Martinez, D. R. (2019). Reward prediction tells us less than expected about musical pleasure. Proceedings of the National Academy of Sciences of the United States of America, 116(42), 20813-20814. https://doi.org/10.1073/pnas.1913244116

Fasano, M. C., Semeraro, C., Cassibba, R., Kringelbach, M. L., Monacis, L., de Palo, V. ... Brattico, E. (2019). Short-Term Orchestral Music Training Modulates Hyperactivity and Inhibitory Control in School-Age Children: A Longitudinal Behavioural Study. Frontiers in Psychology, 10(750).

Fjaeldstad, A. W., Nørgaard, H. J. & Fernandes, H. M. (2019). The Impact of Acoustic fMRI-Noise on Olfactory Sensitivity and Perception. Neuroscience, 406, 262-267. https://doi.org/10.1016/j.neuroscience.2019.03.028

Stupacher, J. (2019). The experience of flow during sensorimotor synchronization to musical rhythms. Musicae Scientiae, 23(3), 348–361. https://doi.org/10.1177/1029864919836720

Matthews, T. E., Witek, M. A. G., Heggli, O. A., Penhune, V. B. & Vuust, P. (2019). The sensation of groove is affected by the interaction of rhythmic and harmonic complexity. PLOS ONE, 14(1), [e0204539]. https://doi.org/10.1371/journal.pone.0204539

Høgholt, N. F. & Kringelbach, M. L. (2019). Treating pregnancy-related insomnia with music and light: A neuroimaging study. In Frontiers Abstract Book (pp. 62-64). Frontiers Media SA.

Cheung, V. K. M., Harrison, P. M. C., Meyer, L., Pearce, M. T., Haynes, J. D. & Koelsch, S. (2019). Uncertainty and Surprise Jointly Predict Musical Pleasure and Amygdala, Hippocampus, and Auditory Cortex Activity. Current Biology, 29(23), 4084-4092.e4. https://doi.org/10.1016/j.cub.2019.09.067

Lumaca, M., Haumann, N. T., Brattico, E., Grube, M. & Vuust, P. (2019). Weighting of neural prediction error by rhythmic complexity: A predictive coding account using Mismatch Negativity. European Journal of Neuroscience, 49(12), 1597-1609. https://doi.org/10.1111/ejn.14329

Lumaca, M., Trusbak Haumann, N., Brattico, E., Grube, M. & Vuust, P. (2019). Weighting of neural prediction error by rhythmic complexity: A predictive coding account using Mismatch Negativity. Poster session presented at Organization for Human Brain Mapping (OHBM) Annual Meeting 2019, Rome, Italy.

Harrison, P. & Pearce, M. (2018). An energy-based generative sequence model for testing sensory theories of Western harmony. In Proceedings of the 19th International Society for Music Information Retrieval Conference Paris: IRCAM.

Haumann, N. T., Kliuchko, M., Vuust, P. & Brattico, E. (2018). Applying Acoustical and Musicological Analysis to Detect Brain Responses to Realistic Music: A Case Study. Applied Sciences, 8(5). https://doi.org/10.3390/app8050716

Bonetti, L., Haumann, N. T., Brattico, E., Kliuchko, M., Vuust, P., Särkämö, T. & Näätänen, R. (2018). Auditory sensory memory and working memory skills: Association between frontal MMN and performance scores. Brain Research, 1700, 86-98. https://doi.org/10.1016/j.brainres.2018.06.034

Stewart, M. E., Griffiths, T. D. & Grube, M. (2018). Autistic Traits and Enhanced Perceptual Representation of Pitch and Time. Journal of Autism and Developmental Disorders, 1350-1358.

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Hella Kastbjerg

Revised 30.01.2019